[ad_1] Introduction Plagiarism is a serious issue in academic and professional settings, as it involves the unauthorized use of someone else’s work and claiming it as one’s own. With the advancement of technology, the ease…
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[ad_1] Introduction Personality recognition has become an increasingly important aspect in user profiling for various applications such as personalized marketing, recommendation systems, and human-computer interaction. By using machine learning algorithms and data analysis techniques, researchers…
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[ad_1] Thesis Overview: Aspect-based sentiment analysis has gained significant attention in recent years due to the increasing volume of user-generated content on the internet. This technique allows for the extraction of fine-grained opinions from text…
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[ad_1] Introduction Discourse analysis is a valuable tool in linguistics and communication studies that focuses on understanding how language is used in communication to create coherent and cohesive texts. Coherence refers to the interconnectedness and…
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[ad_1] Introduction Formal verification is a crucial process in software development that involves mathematically proving that a software system meets its specifications and requirements. This process helps to ensure that software is correct, reliable, and…
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[ad_1] Introduction Automated planning is a crucial aspect of artificial intelligence that aims to create intelligent systems capable of making decisions in pursuit of achieving specific goals. It involves the formulation of a sequence of…
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[ad_1] Introduction In the era of big data, one of the major challenges faced by researchers and organizations is the interoperability of knowledge across different domains and systems. Linked data has emerged as a powerful…
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[ad_1] Introduction Semantic web technology has emerged as a promising solution for organizing and extracting knowledge from the vast amount of information available on the internet. By using standardized metadata and ontologies, the semantic web…
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[ad_1] Introduction: Recurrent relational networks have emerged as a powerful tool for relational reasoning in various domains such as natural language processing, computer vision, and robotics. These networks have the ability to capture complex relationships…
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[ad_1] Introduction Neural Turing Machines (NTMs) have emerged as a promising approach for memory augmentation in neural networks. Inspired by the architecture of the classical Turing machine, NTMs combine neural networks with external memory components,…
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